Cluster Analysis /
Everitt, Brian.
Cluster Analysis / Brian S. Everitt. - 5th ed. - Hoboken : Wiley, 2011. - 1 online resource (xii, 330 pages) : illustrations. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
Includes bibliographical references and index.
Front Matter -- An Introduction to Classification and Clustering -- Detecting Clusters Graphically -- Measurement of Proximity -- Hierarchical Clustering -- Optimization Clustering Techniques -- Finite Mixture Densities as Models for Cluster Analysis -- Model-Based Cluster Analysis for Structured Data -- Miscellaneous Clustering Methods -- Some Final Comments and Guidelines -- Bibliography -- Index.
"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."-- "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"--
9780470977811 0470977817 9780470977804 0470977809 0470978449 9780470978443 0470749911 9780470749913
10.1002/9780470977811 doi
10.1002/9780470977811 Wiley InterScience http://www3.interscience.wiley.com
Cluster analysis.
MATHEMATICS--Multivariate Analysis.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Cluster analysis.
Clusteranalyse.
Electronic books.
QA278 / .E9 2011
519.5/3
Cluster Analysis / Brian S. Everitt. - 5th ed. - Hoboken : Wiley, 2011. - 1 online resource (xii, 330 pages) : illustrations. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
Includes bibliographical references and index.
Front Matter -- An Introduction to Classification and Clustering -- Detecting Clusters Graphically -- Measurement of Proximity -- Hierarchical Clustering -- Optimization Clustering Techniques -- Finite Mixture Densities as Models for Cluster Analysis -- Model-Based Cluster Analysis for Structured Data -- Miscellaneous Clustering Methods -- Some Final Comments and Guidelines -- Bibliography -- Index.
"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."-- "This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics"--
9780470977811 0470977817 9780470977804 0470977809 0470978449 9780470978443 0470749911 9780470749913
10.1002/9780470977811 doi
10.1002/9780470977811 Wiley InterScience http://www3.interscience.wiley.com
Cluster analysis.
MATHEMATICS--Multivariate Analysis.
MATHEMATICS--Probability & Statistics--Multivariate Analysis.
Cluster analysis.
Clusteranalyse.
Electronic books.
QA278 / .E9 2011
519.5/3